Abstract: In this paper, we introduce a novel approach for addressing the multi-objective optimization problem in large language model merging via black-box multi-objective optimization algorithms.

Abstract: Multi-objective evolutionary algorithms (MOEAs) have achieved notable success in recommendation systems (RSs) by meeting diverse user needs. However, existing MOEAs lack effective methods to ...

This paper delves into how to collaboratively reduce emissions of sulfur dioxide, nitrogen oxides, and carbon dioxide through rational energy consumption and governance investment strategies with ...

To adapt to the agentic AI era, investors and executives must change how they think about problems, valuations and ...

In summary, our contributions are as follows: • Analysis: We find existing selective watermarking method underexplored potentially informative factors that may be used as criterions for selection. We ...

Gurobi Optimization, LLC, the leader in decision intelligence technology, is pleased to announce the release of its 2025 State of Mathematical Optimization Report. This year’s report, based on a ...

If your AI isn’t delivering, blame your data. Smarter architecture — not more algorithms — unlocks real enterprise ...

Freeze-drying is preferred for sensitive samples because it combines low-temperature processing with gentle water removal.